What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Changchun Hua spends much of his time researching Control theory, Nonlinear system, Control theory, Adaptive control and Control system.
The study incorporates disciplines such as Control engineering and Teleoperation in addition to Control theory.
His Nonlinear system research incorporates themes from Artificial neural network, State variable and Bounded function.
His work in Control theory is not limited to one particular discipline; it also encompasses Observer.
In his study, which falls under the umbrella issue of Adaptive control, Networked control system is strongly linked to Fuzzy logic.
His study focuses on the intersection of Control system and fields such as Full state feedback with connections in the field of Lyapunov functional.
His most cited work include:
- Robust backstepping control for a class of time delayed systems (200 citations)
- Adaptive Fuzzy Output-Feedback Controller Design for Nonlinear Time-Delay Systems With Unknown Control Direction (191 citations)
- New results on stability analysis of neural networks with time-varying delays (184 citations)
What are the main themes of his work throughout his whole career to date?
Changchun Hua mostly deals with Control theory, Control theory, Nonlinear system, Backstepping and Control engineering.
Control theory is often connected to Teleoperation in his work.
His Teleoperation research includes themes of Terminal sliding mode, Telerobotics, Linear matrix inequality, Stability and Synchronization.
His study explores the link between Control theory and topics such as Control system that cross with problems in Fuzzy logic.
His Nonlinear system study integrates concerns from other disciplines, such as Artificial neural network, Multi-agent system, Bounded function and State variable.
The Backstepping study combines topics in areas such as Sliding mode control, Tracking error and Stability theory.
He most often published in these fields:
- Control theory (87.50%)
- Control theory (46.13%)
- Nonlinear system (43.45%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (87.50%)
- Nonlinear system (43.45%)
- Control theory (46.13%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Nonlinear system, Control theory, Multi-agent system and Lyapunov stability.
Changchun Hua has included themes like Control and Consensus in his Control theory study.
His studies deal with areas such as Actuator and Computer simulation as well as Nonlinear system.
His Control theory research includes elements of Tracking, Bounded function, Automatic frequency control and Trajectory.
His Multi-agent system research incorporates themes from Event triggered, Distributed computing, Hybrid system and Directed graph.
His Lyapunov stability research is multidisciplinary, incorporating perspectives in Stability and Robustness.
Between 2019 and 2021, his most popular works were:
- Nonfragile Consensus of Multiagent Systems Based on Memory Sampled-Data Control (19 citations)
- Stabilization of T-S Fuzzy System With Time Delay Under Sampled-Data Control Using a New Looped-Functional (13 citations)
- Trajectory Tracking Control of Autonomous Underwater Vehicle With Unknown Parameters and External Disturbances (10 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Computer network
The scientist’s investigation covers issues in Control theory, Control theory, Nonlinear system, Multi-agent system and Consensus.
His Trajectory study, which is part of a larger body of work in Control theory, is frequently linked to Positive-definite matrix, bridging the gap between disciplines.
The Fuzzy control system research Changchun Hua does as part of his general Control theory study is frequently linked to other disciplines of science, such as Symmetric matrix, therefore creating a link between diverse domains of science.
He combines subjects such as State variable, Disturbance and Model free with his study of Nonlinear system.
His Multi-agent system research is multidisciplinary, incorporating elements of Observer and Event triggered.
As a part of the same scientific family, Changchun Hua mostly works in the field of Consensus, focusing on Hybrid system and, on occasion, Lyapunov function and Regularization.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
